Literature DB >> 11102498

Reliability of a fly motion-sensitive neuron depends on stimulus parameters.

A K Warzecha1, J Kretzberg, M Egelhaaf.   

Abstract

The variability of responses of sensory neurons constrains how reliably animals can respond to stimuli in the outside world. We show for a motion-sensitive visual interneuron of the fly that the variability of spike trains depends on the properties of the motion stimulus, although differently for different stimulus parameters. (1) The spike count variances of responses to constant and to dynamic stimuli lie in the same range. (2) With increasing stimulus size, the variance may slightly decrease. (3) Increasing pattern contrast reduces the variance considerably. For all stimulus conditions, the spike count variance is much smaller than the mean spike count and does not depend much on the mean activity apart from very low activities. Using a model of spike generation, we analyzed how the spike count variance depends on the membrane potential noise and the deterministic membrane potential fluctuations at the spike initiation zone of the neuron. In a physiologically plausible range, the variance is affected only weakly by changes in the dynamics or the amplitude of the deterministic membrane potential fluctuations. In contrast, the amplitude and dynamics of the membrane potential noise strongly influence the spike count variance. The membrane potential noise underlying the variability of the spike responses in the motion-sensitive neuron is concluded to be affected considerably by the contrast of the stimulus but by neither its dynamics nor its size.

Mesh:

Year:  2000        PMID: 11102498      PMCID: PMC6773076     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  27 in total

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Authors:  P Reinagel; R C Reid
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

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Journal:  Vis Neurosci       Date:  1992-12       Impact factor: 3.241

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4.  How reliably does a neuron in the visual motion pathway of the fly encode behaviourally relevant information?

Authors:  A K Warzecha; M Egelhaaf
Journal:  Eur J Neurosci       Date:  1997-07       Impact factor: 3.386

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Authors:  M Juusola; R O Uusitalo; M Weckström
Journal:  J Gen Physiol       Date:  1995-01       Impact factor: 4.086

6.  Encoding of visual motion information and reliability in spiking and graded potential neurons.

Authors:  J Haag; A Borst
Journal:  J Neurosci       Date:  1997-06-15       Impact factor: 6.167

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Authors:  R Vogels; W Spileers; G A Orban
Journal:  Exp Brain Res       Date:  1989       Impact factor: 1.972

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Authors:  M W Levine; R P Zimmerman; V Carrion-Carire
Journal:  J Opt Soc Am A       Date:  1988-04       Impact factor: 2.129

Review 9.  A look into the cockpit of the fly: visual orientation, algorithms, and identified neurons.

Authors:  M Egelhaaf; A Borst
Journal:  J Neurosci       Date:  1993-11       Impact factor: 6.167

10.  The statistical reliability of signals in single neurons in cat and monkey visual cortex.

Authors:  D J Tolhurst; J A Movshon; A F Dean
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

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  13 in total

1.  Neural coding with graded membrane potential changes and spikes.

Authors:  J Kretzberg; A K Warzecha; M Egelhaaf
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

2.  Transfer of visual motion information via graded synapses operates linearly in the natural activity range.

Authors:  R Kurtz; A K Warzecha; M Egelhaaf
Journal:  J Neurosci       Date:  2001-09-01       Impact factor: 6.167

3.  Consistency of encoding in monkey visual cortex.

Authors:  M C Wiener; M W Oram; Z Liu; B J Richmond
Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

4.  Membrane potential fluctuations determine the precision of spike timing and synchronous activity: a model study.

Authors:  J Kretzberg; M Egelhaaf; A K Warzecha
Journal:  J Comput Neurosci       Date:  2001 Jan-Feb       Impact factor: 1.621

5.  Noise, not stimulus entropy, determines neural information rate.

Authors:  Alexander Borst
Journal:  J Comput Neurosci       Date:  2003 Jan-Feb       Impact factor: 1.621

Review 6.  Visually guided orientation in flies: case studies in computational neuroethology.

Authors:  M Egelhaaf; N Böddeker; R Kern; J Kretzberg; J P Lindemann; A-K Warzecha
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-05-15       Impact factor: 1.836

7.  Impact of noise on retinal coding of visual signals.

Authors:  Christopher L Passaglia; John B Troy
Journal:  J Neurophysiol       Date:  2004-04-07       Impact factor: 2.714

8.  Impact of neural noise on a sensory-motor pathway signaling impending collision.

Authors:  Peter W Jones; Fabrizio Gabbiani
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9.  Discovering spike patterns in neuronal responses.

Authors:  Jean-Marc Fellous; Paul H E Tiesinga; Peter J Thomas; Terrence J Sejnowski
Journal:  J Neurosci       Date:  2004-03-24       Impact factor: 6.167

10.  Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs.

Authors:  Jutta Kretzberg; Terrence Sejnowski; Anne-Kathrin Warzecha; Martin Egelhaaf
Journal:  Neurocomputing       Date:  2003-06-01       Impact factor: 5.719

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